Projected sea-level rise flooding inundation extents for +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter in the Mariana Islands

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Frequently anticipated questions:

What does this data set describe?

Title:
Projected sea-level rise flooding inundation extents for +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter in the Mariana Islands
Abstract:
This data release provides flooding extent polygons based on potential future sea-level rise (SLR) rise water levels for the coast of the most populated Mariana Islands of Guam and Saipan. Digital elevation models were used to predict SLR flooding extents for +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR rise scenarios.
Supplemental_Information:
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology.
  1. How might this data set be cited?
    Fregoso, Theresa A., and Storlazzi, Curt D., 20240910, Projected sea-level rise flooding inundation extents for +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter in the Mariana Islands: data release DOI:10.5066/P9RIQ7S7, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

    This is part of the following larger work.

    Alkins, Kristen C., Gaido, Camila L., Reguero, Borja G., Storlazzi, Curt D., and Fregoso, Theresa A., 2024, Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: data release DOI:10.5066/P9RIQ7S7, U.S. Geological Survey, Pacific Coastal and Marine Science Center, Santa Cruz, CA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: 144.61645626
    East_Bounding_Coordinate: 145.832676405
    North_Bounding_Coordinate: 15.290201801
    South_Bounding_Coordinate: 13.234237857
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 07-Feb-2022
    Currentness_Reference:
    publication date
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: shapefile
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • GT-polygon composed of chains
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.00001. Longitudes are given to the nearest 0.00001. Latitude and longitude values are specified in Decimal Degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.0.
      The flattening of the ellipsoid used is 1/298.257223563.
  7. How does the data set describe geographic features?
    SLR_[Island]_[sea-level rise scenario]_extent.shp
    shapefiles consisting of the sea-level rise scenario flooding extent for Guam and Sapian. (Source: Producer defined)
    FID
    Object ID (Source: Esri) automatically generated unique identifiers
    Shape
    feature type (Source: Esri) automatically generated unique identifiers
    Id
    ID (Source: producer defined) automatically generated unique identifiers
    gridcode
    grid ID (Source: producer defined) automatically generated unique identifiers
    Entity_and_Attribute_Overview:
    shapefiles contained in this part of the data release include projected flood extents in the following format SLR_[Island]_[sea-level rise scenario]_extent.shp, where [SLR scenario] = one of the 6 sea-level rise scenarios modeled (050cm, 100cm, 150cm, 200cm, 300cm). Files are grouped by island, containing all sea-level rise scenarios. For example, Guam_SLR_extents.zip, contains all outputs for Guam, within which SLR Guam_300_extent.shp illustrates the flood extents for a sea-level rise of 300 cm.
    Entity_and_Attribute_Detail_Citation: U.S. Geological Survey

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • Theresa A. Fregoso
    • Curt D. Storlazzi
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    U.S. Geological Survey, Pacific Coastal and Marine Science Center
    Attn: PCMSC Science Data Coordinator
    2885 Mission Street
    Santa Cruz, CA

    831-427-4747 (voice)
    pcmsc_data@usgs.gov

Why was the data set created?

These flood extent files were created to evaluate coastal flooding in the most populated Mariana Islands of Guam and Saipan due to climate change influenced sea-level rise. The data are intended to help identify areas where management and/or restoration could potentially help reduce the risk to, and increase the resiliency of, the coastal communities in the populated in Mariana Islands of Guam and Saipan. The data can be used with geographic information systems (GIS) software for research purposes.

How was the data set created?

  1. From what previous works were the data drawn?
    DEM 1 (source 1 of 2)
    United States Geological Survey, 2015, USGS 10-m Digital Elevation Model (DEM): CNMI: Saipan: Pacific Islands Ocean Observatory System, online.

    Online Links:

    Type_of_Source_Media: Digital
    Source_Contribution: DEM used to extract each of the levels of sea level rise.
    DEM 2 (source 2 of 2)
    NOAA National Centers for Environmental Information., 2008, Guam 1/3 arc-second MHW Coastal Digital Elevation Model: NOAA, online.

    Online Links:

    Type_of_Source_Media: Digital
    Source_Contribution: DEM used to extract each of the levels of sea level rise.
  2. How were the data generated, processed, and modified?
    Date: 15-Mar-2024 (process 1 of 1)
    All extracted elevation DEMS for each scenario of sea level rise were converted from a raster to polygons in ArcPro. Each elevation raster was multiplied by zero than set to a value of 1. These new rasters were then converted to polygons using the value one to group adjacent areas. The resulting shapefiles were the outlines denoting the extent of flooding for each of the six sea-level rise scenarios (0.25, 0.5, 1.0, 1.5, 2.0 and 3.0 m) for the coast of Mariana Islands of Guam and Saipan. Shapefiles were manually inspected to remove any areas that could not immediately be seen to the result of inundation. Final shapefiles were separated by island (Island_SLR_extents*.zip) for file-size considerations. Data sources used in this process:
    • DEM 1
    • DEM 2
  3. What similar or related data should the user be aware of?
    Storlazzi, Curt D., Reguero, Borja G., Cole, Aaron D., Lowe, Eric, Shope, James B., Gibbs, Ann E., Nickel, Barry A., McCall, Robert T., Ap R. van Dongeren, and Beck, Mike W., 2019, Rigorously Valuing the Role of U.S. Coral Reefs in Coastal Hazard Risk Reduction.

    Online Links:

    Other_Citation_Details:
    Storlazzi, C.D., Reguero, B.G., Cole, A.D., Lowe, E., Shope, J.B., Gibbs, A.E., Nickel, B.A., McCall, R.T., van Dongeren, A.R., and Beck, M.W., 2019, Rigorously valuing the role of U.S. coral reefs in coastal hazard risk reduction: U.S. Geological Survey Open-File Report 2019 1027, 42 p., https://doi.org/10.3133/ofr20191027
    Storlazzi, Curt D., Reguero, Borja G., Gaido, Camila L., Alkins, Kristen C., Lowrie, Chris, Nederhoff, Kees M., Erikson, Li H., O'Neill, Andrea C., and Beck, Mike W., 2024, Forecasting Storm-Induced Coastal Flooding for 21st Century Sea-Level Rise Scenarios in the Hawaiian, Mariana, and American Samoan Islands.

    Online Links:

    Other_Citation_Details:
    Storlazzi, C.D., Reguero, B.G., Gaido L., C., Alkins, K.C., Lowrie, C., Nederhoff, K.M., Erikson, L.H., O'Neill, A.C., and Beck, M.W., 2024, Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey Data Report 1184, 21 p.
    Storlazzi, Curt D., Reguero, Borja G., Viehman, T. Shay, Cumming, Kristen A., Cole, Aaron D., Shope, James B., Groves, Sarah H., L., Camila Gaido, Nickel, Barry A., and Beck, Mike W., 2021, Rigorously Valuing the Impact of Hurricanes Irma and Maria on Coastal Hazard Risk in Florida and Puerto Rico.

    Online Links:

    Other_Citation_Details:
    Storlazzi, C.D., Reguero, B.G., Viehman, T.S., Cumming, K.A., Cole, A.D., Shope, J.B., Groves, S.H., Gaido L., C., Nickel, B.A., and Beck, M.W., 2021, Rigorously valuing the impact of Hurricanes Irma and Maria on coastal hazard risks in Florida and Puerto Rico: U.S. Geological Survey Open-File Report 2021 1056, 29 p.
    Reguero, Borja G., Storlazzi, Curt D., Gibbs, Ann E., Shope, James B., Cole, Aaron D., Cumming, Kristen A., and Beck, Mike W., 2021, The value of US coral reefs for flood risk reduction.

    Online Links:

    Other_Citation_Details:
    Reguero, B.G., Storlazzi, C.D., Gibbs, A.E., Shope J.B., Cole, A.D., Cumming, K.A., and Beck, M.W., 2021 Author Correction: The value of US coral reefs for flood risk reduction. Nat Sustain 4, 457.

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    Attribute values are values automatically generated during creation of dataset.
  2. How accurate are the geographic locations?
    Data are concurrent with topobathymetric digital elevation model (DEM) locations.
  3. How accurate are the heights or depths?
    Elevation values are as precise as resolution and tolerances listed in associated topobathymetric DEMs.
  4. Where are the gaps in the data? What is missing?
    Dataset is considered complete for the information presented as described in the abstract. Users are advised to read the metadata record carefully for additional details.
  5. How consistent are the relationships among the observations, including topology?
    No additional checks for consistency were performed on this data.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints No access constraints
Use_Constraints USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey and University of California, Santa Cruz as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? These data are available as zip files by island for which [ISLAND]_SLR_Extents.zip] is the filename, where *ISLAND* could be Guam or Sapian.
  3. What legal disclaimers am I supposed to read?
    Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
  4. How can I download or order the data?
  5. What hardware or software do I need in order to use the data set?
    These data can be viewed with ArcGIS or other spatial analysis software.

Who wrote the metadata?

Dates:
Last modified: 10-Sep-2024
Metadata author:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Attn: PCMSC Science Data Coordinator
2885 Mission Street
Santa Cruz, CA

831-427-4747 (voice)
pcmsc_data@usgs.gov
Metadata standard:
Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_P9RIQ7S7/Projections_SLRextents_Guam_CNMI_metadata.faq.html>
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